Personal profile

Biography

I am a Lecturer in Statistics in the Department of Mathematics, Physics and Electrical Engineering. I joined the Department in May 2023; prior to that I was Lecturer at Newcastle University. My PhD was in information geometry for phylogenetic trees.  

Research interests

I am interested in developing (non-Euclidean) geometric statistical methods for the analysis of data sets of phylogenetic trees. This methodology has a natural extension to graph-valued data, with an increasing number of problems in transport networks, genes, and neurology. I am also working with colleagues at Newcastle University to find early indicators of Parkinson's disease by analysis muscle activation patterns.

Education/Academic qualification

Statistics, PhD, Information geometry for phylogenetic trees, Newcastle University

29 Sept 201422 Oct 2019

Award Date: 22 Oct 2019

Mathematics, MRes, University of Leicester

Award Date: 16 Jul 2014

Mathematics, MSc, Bayero University Kano

Award Date: 26 Mar 2014

Mathematics, BSc, Bayero University Kano

Award Date: 28 Jan 2009

External positions

Newcastle University

14 Feb 20225 May 2023

Collaborations and top research areas from the last five years

Recent external collaboration on country/territory level. Dive into details by clicking on the dots or
  • Information Metrics for Phylogenetic Trees via Distributions of Discrete and Continuous Characters

    Garba, M. K., Nye, T. M. W., Lueg, J. & Huckemann, S. F., 10 Jul 2021, Geometric Science of Information: 5th International Conference, GSI 2021, Paris, France, July 21–23, 2021, Proceedings. Nielsen, F. & Barbaresco, F. (eds.). 1 ed. Cham, Switzerland: Springer, p. 701-709 9 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 12829 LNCS).

    Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

  • Wald Space for Phylogenetic Trees

    Lueg, J., Garba, M. K., Nye, T. M. W. & Huckemann, S. F., 10 Jul 2021, Geometric Science of Information: 5th International Conference, GSI 2021, Paris, France, July 21–23, 2021, Proceedings. Nielsen, F. & Barbaresco, F. (eds.). 1 ed. Cham, Switzerland: Springer, p. 710-717 8 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 12829 LNCS).

    Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

    3 Citations (Scopus)
  • Foundations of the Wald Space for Phylogenetic Trees

    Lueg, J., Garba, M. K., Nye, T. M. W. & Huckemann, S. F., 12 Sept 2022, (Submitted) 42 p.

    Research output: Working paperPreprint

    File
    15 Downloads (Pure)
  • Information geometry for phylogenetic trees

    Garba, M. K., Nye, T. M. W., Lueg, J. & Huckemann, S. F., Feb 2021, In: Journal of Mathematical Biology. 82, 3, 39 p., 19.

    Research output: Contribution to journalArticlepeer-review

    Open Access
    File
    14 Citations (Scopus)
    23 Downloads (Pure)
  • Probabilistic Distances Between Trees

    Garba, M. K., Nye, T. M. W. & Boys, R. J., 1 Mar 2018, In: Systematic Biology. 67, 2, p. 320-327 8 p.

    Research output: Contribution to journalArticlepeer-review

    Open Access
    File
    15 Citations (Scopus)
    18 Downloads (Pure)